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The Strange Tale of Yeonmi Park
(thediplomat.com)
Humans are getting really, really good at computational chemistry and all life is about balancing a system of chemical equilibria. So maybe?
Computationally, we might be close. Practically, probably going to be awhile. There are aspects common to all life about the molecular machinery of DNA/RNA/protein synthesis that biology still does not have good models for yet . Without accurate models of the entire human proteome engineering to significantly reverse or delay aging is next to impossible - it would be shooting largely in the dark.
There were many novels, comic books, TV shows, radio programs, and movies before humans actually had the Apollo program to the Moon. 100's of years of them. No idea where we are on that time scale now. We could be in the 1950's during the Space Race or we could be in the 1850's before even planes were invented, and gliders were the highest technology of the time.
Lookup how Google does performance reviews and you'll find out why they are so dysfunctional as a company. They took Intel's Objectives and key results performance review system and turned it into a cross between Logan's Run and the Salem Witch Trials.
https://blog.grovehr.com/google-performance-review
https://www.scrum.org/resources/blog/okrs-good-bad-and-ugly
https://en.wikipedia.org/wiki/OKR
OKR's became Google's go to excuse to fire older workers, and they have been sued so much for age discrimination - calls to the carnival - that it raised the average age someone was fired above 35 to 40 or so today.
Google hires fresh graduates out of places like Stanford's and SJSU's CS departments like off an assembly line to replace older workers, who burn out, are fired for performance, or leave for a better gig by the time they are 40 at a very ~~suspicious~~ amazing rate.
The average age of Google's talent pool has been balanced mysteriously on or around 30 for years and years .
20-30 year olds typically are hired unto projects that only go places if the top dogs are fired for performance. So the young eat the old, and the old zealously try to make everyone happy - which makes no one happy- and this is the story that plays out over and over at Google. Google typically has gone from a run of about 10 years for a new service/product being cancelled or added to another existing product like a frankensteinian monster.
Intel uses OKR in highly motivated engineering teams working on hardware goals running up against the physical limits of modern technology and science.
Google uses OKR in lowly motivated creative/marketing/UI/etc teams working on nebulous software goals that are measured by browser cookies.